摘要
目的建立凉粉草HPLC指纹图谱,结合化学模式识别分析筛选质量标志物,并建立含量测定方法,通过TOPSIS(逼近理想解排序法)分析,全面评价凉粉草药材质量。方法采用HPLC,以迷迭香酸为参照,建立15批不同来源凉粉草药材指纹图谱,进行相似度评价,确定共有峰;采用SPSS22.0、SIMCA14.1统计软件进行聚类分析、主成分分析和正交偏最小二乘判别分析;对筛选出的质量标志物建立HPLC含量测定方法并测定含量,基于TOPSIS模型,对不同来源的凉粉草药材质量进行分析和评价。结果HPLC指纹图谱共标定14个共有峰,指认出6种成分分别为咖啡酸、异槲皮苷、紫云英苷、迷迭香酸、紫草酸和丹酚酸B,15批不同来源凉粉草的相似度为0.718~0.998。聚类分析将15批凉粉草分成3类;主成分分析得到4个主成分,累计方差贡献率为83.165%;正交偏最小二乘判别分析模型筛选出质量差异标志物为咖啡酸、异槲皮苷、紫云英苷、丹酚酸B,4种成分在15批样品中的含量分别为0.0852~0.2985 mg/g、0.0616~1.4245 mg/g、0.0793~1.5072 mg/g、0.0744~0.8975 mg/g;结合TOPSIS分析,样品S13质量最佳。结论指纹图谱结合化学模式识别及TOPSIS分析可用于不同来源凉粉草药材的质量控制。
Objective To establish HPLC fingerprints;To screen quality makers by combining with chemical pattern recognition;To establish content determination method;To comprehensively evaluate the quality of Mesona chinensis Benth.through TOPSIS analysis.Methods Using rosmarinic acid as reference by HPLC,fingerprints of 15 batches of Mesona chinensis Benth.from different sources were established for similarity evaluation to determine common peak.SPSS 22.0 and SIMCA 14.1 statistical softwares were used for cluster analysis,principle component analysis and orthogonal partial least squares discriminate analysis.HPLC content determination method was established for the selected quality markers and determine the content.Based on the TOPSIS model,the quality of Mesona chinensis Benth.from different sources was analyzed and evaluated.Results A total of 14 common peaks were calibrated in the HPLC fingerprint,and 6 identified components were caffeic acid,isoquercitrin,astragalin,rosmarinic acid,lithospermic acid,salvianolic acid B.The similarity of 15 batches from different sources were between 0.718 and 0.998.Cluster analysis divided 15 batches of Mesona chinensis Benth.from different sources into 3 categories.Principal component analysis had 4 principal components,and the cumulative variance contribution rate was 83.165%.Orthogonal partial least squares discriminant analysis model screened out the quality difference markers as caffeic acid,isoquercitrin,astragalin,and salvianolic acid B.The contents of 15 batches were 0.0852-0.2985 mg/g,0.0616-1.4245 mg/g,0.0793-1.5072 mg/g,and 0.0744-0.8975 mg/g.Combined with TOPSIS analysis,the sample S13 had the best quality.Conclusion Fingerprint combined with chemical pattern recognition and TOPSIS analysis can be used for the quality control of Mesona chinensis Benth.from different sources.
作者
谢平
陈秋桦
许鑫鑫
沈金海
郝春莉
林丽丽
陈良华
XIE Ping;CHEN Qiuhua;XU Xinxin;SHEN Jinhai;HAO Chunli;LIN Lili;CHEN Lianghua(College of Environment and Public Health,Xiamen Huaxia University,Xiamen 361024,China;Biochemical Pharmacy Engineering Research Center of Fujian Province University,Xiamen 361024,China;Xiamen Key Laboratory of Food and Drug Safety,Xiamen 361024,China;Fujian Institute of Subtropical Plants,Xiamen 361006,China)
出处
《中国中医药信息杂志》
CAS
CSCD
2022年第5期98-104,共7页
Chinese Journal of Information on Traditional Chinese Medicine
基金
中央引导地方科技发展专项(YDZX20193502000001)
福建省中青年教师教育科研项目(JAT190982、JAT200879、JAT200874)
福建省大学生创新创业训练计划项目(202012709029)
厦门华厦学院环境与公共健康学院“育苗基金”(HJYM2020012)。
关键词
凉粉草
指纹图谱
聚类分析
主成分分析
正交偏最小二乘判别分析
TOPSIS
Mesona chinensis Benth.
fingerprint
cluster analysis
principle component analysis
orthogonal partial least squares discriminate analysis
TOPSIS
